Jul 1, 2017 · We examine the use of weak supervision sources for training that yield pseudo query-document pairs that already exhibit relevance.

Using several leading neural ranking architectures and multiple weak supervision datasets, we show that these sources of training pairs are effective on their ...

Using several leading neural ranking architectures and multiple weak supervision datasets, we show that these sources of training pairs are effective on their ...

This work examines the use of weak supervision sources for training that yield pseudo query-document pairs that already exhibit relevance and proposes ...

We examine the use of weak supervision sources for training that yield pseudo query-document \textit{pairs} that already exhibit relevance.

Content-Based Weak Supervision for Ad-Hoc Re-Ranking. SIGIR 2019. Please refer to OpenNIR for implemenation of New York Times and Wiki weak supervision training ...

Author: MacAvaney, Sean et al.; Genre: Conference Paper; Issued: 2019; Title: Content-Based Weak Supervision for Ad-Hoc Re-Ranking.

Using several leading neural ranking architectures and multiple weak supervision datasets, we show that these sources of training pairs are effective on their ...

Content-Based Weak Supervision for Ad-Hoc Re-Ranking ; Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information ...

Using several leading neural ranking architectures and multiple weak supervision datasets, we show that these sources of training pairs are effective on their ...